Research on digital transfer and correction technology for 3D model of power grid

Gang Wang; He Wang; Hai Yu; Fei Wang; Zikai Fan; Jiao Dai

doi:10.1117/12.3052782

11 December 2024 Research on digital transfer and correction technology for 3D model of power grid

Gang Wang, He Wang, Hai Yu, Fei Wang, Zikai Fan, Jiao Dai

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 1344517 (2024) https://doi.org/10.1117/12.3052782
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

The design drawings in power grid engineering construction usually need to be transferred to the equipment operation and maintenance stage. However, due to the differences between the actual construction process and the design drawings, manual adjustment has the problems of large workload and low efficiency. This article proposes the intelligent registration and reconstruction of power grid engineering data twins, which solves the problem of the lack of grid-based 3D point cloud data for modifying and adjusting the design drawings of substations in related technologies and improves the accuracy of operation and maintenance control after transferring the 3D design drawings to the operation and maintenance stage. This article studies the application of transfer model data in unmanned aerial vehicle inspection business for power transmission and transformation, improving the safety of unmanned aerial vehicle autonomous inspection and enhancing the reusability of transfer models by operation and inspection departments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gang Wang, He Wang, Hai Yu, Fei Wang, Zikai Fan, and Jiao Dai "Research on digital transfer and correction technology for 3D model of power grid", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 1344517 (11 December 2024); https://doi.org/10.1117/12.3052782

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